176 to 200 of 1,144 Machine Learning Jobs in London

game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product … developing games and features. Progression opportunities will be within the AI group or to studios in the group. Key Responsibilities Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data. ...

Senior ML Research Engineer - Sustainable Finance Location: London Business Area: Engineering and CTO Ref #: 10052491 Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions … uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer on the AI Sustainable Finance team, you will be working on exciting initiatives such as real‐time controversies detection from news, greenhouse ...

reporting Integrate data from multiple sources, ensuring quality, reliability, and performance Collaborate with data scientists and analysts to enable advanced analytics and Azure ML use cases Optimise data workflows and troubleshoot performance issues Azure Data Engineer - SC Clearance - London/Hybrid - £550 - £600 per day Core Skills & Experience Strong experience … Azure Synapse and Azure Data Factory Proven background in data engineering, data pipelines, and data integration Knowledge of Azure Machine Learning (Azure ML) and analytics platforms Experience with cloud data architecture and best practices Proficiency in SQL, Python , or similar data-focused programming languages Requirements Must hold active ...

AI. You are both a deep technical builder and an expert business value translator. What you’ll do Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide … range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product demonstrations and proof‐of‐concepts (POCs) that solve specific, complex customer problems ...

About the Company Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning . Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science … join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production . This role is suited to a well-rounded Senior/Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Overview Join us as a AI Engineering Lead In this key role, you'll lead the engineering of AI and machine learning (ML) capabilities for the Economic Crime Hub, translating decision strategies into scalable, production-grade solutions. We'll look … lifecycle of AI and ML models, from development and deployment through to monitoring, optimisation, and ongoing performance management. This is an opportunity to make an impact by ensuring AI and ML solutions operate reliably and safely within governed, compliant environments, while meeting business, risk, and regulatory requirements. Responsibilities ...

experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built … comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users ...

Google Cloud Consulting - Forward Deployed Engineering (FDE) team, you will lead a squad of artificial intelligence and machine learning (AI/ML) engineers who bridge the gap between AI products and production‐grade reality within customers. You will be responsible for a team that doesn't just consult … experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad. Identify skill gaps in emerging tech (Model Context Protocol (MCP), tool‐calling, and foundation ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...

Role AI Evangelist (Senior Technology Architect) Technology, Location & Compensation AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP London, UK Competitive (including bonus) Job Summary We seek a highly skilled senior architect/consultant to lead the Generative AI Technologies team. The candidate must possess deep … accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock ...

corporate_fare DeepMind place London, UK Qualifications PhD in a relevant field (Protein Design/Engineering, Machine Learning, Structural Biology, or similar) or equivalent practical experience. 2 years of experience using and developing protein design tools. Experience in an application area of protein design or protein engineering. Experience … prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search ...

shaping the future of AI at scale. As a Staff Machine Learning Engineer, you’ll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform. You’ll play … deliver the best possible experience for our customers. These are some of the key components to the position Own the technical roadmap for the ML infrastructure domain, defining priorities across GPU compute, model serving, training platforms and observability. Lead the evolution of our foundation model platform as we expand from ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

shape the future of Depop’s product ecosystem. Responsibilities Lead analytics and technical discovery for a core product area. Partner with product, engineering, and ML teams to tackle ambiguous problems where the path forward is unclear. Identify opportunities for analysis, develop new approaches, and generate insights that directly shape product … ML roadmaps. Provide a strategic lens to product thinking by connecting user behaviour, marketplace dynamics and commercial outcomes. Influence prioritisation decisions at both team and company level, acting as a thought partner. Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights. ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to £120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers … deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

Role Overview Role – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UK Business Unit – TOPAZDLVRY Compensation – Competitive (including bonus) Job Summary We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative … evaluation of retrieval quality. Familiarity with advanced patterns such as GraphRAG and agentic RAG to reduce hallucination and improve factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras ...

data teams to deploy and operate AI workloads efficiently. What you'll be doing: Building and managing cloud-native infrastructure to support AI and ML applications. Designing and maintaining Kubernetes environments for production workloads. Developing and managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation … initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure ...

as a branch of software engineering, meaning you will be responsible for writing production-grade code that powers our underwriting systems. Production-Grade ML Engineering: Lead the end-to-end lifecycle of credit risk models, treating Machine Learning as a branch of software engineering to ensure … reviews, mentoring junior team members, and contributing to core internal libraries. What Makes You a Great Fit Experience: 4+ years in Data Science/ML, with a proven track record of building and maintaining production-grade ML systems. Statistical & Modeling Depth: Advanced knowledge of predictive modeling and credit risk concepts ...

London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical … position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

London, UK Contract: 6 months (extendable) Tech Focus: GCP (Vertex AI – essential), Python, APIs, CI/CD, Docker Key Skills Required :Strong MLOps/ML Engineering experience (5+ years )Hands-on experience with GCP (Vertex AI )Excellent Python development skill sExperience with CI/CD, Docker, Terrafor mAbility to take … ML models from research to productio nLeadership or mentoring experienc ...

systems. R&D: Working on functional programming, either with pre-existing languages (such as Rust and Erlang) or purpose-built languages similar to OCaml. Machine Learning: Building out Machine Learning infrastructure and tweaking research models. Requirements Technologist: Keen technologist; language agnostic but ideally experienced in Rust ...

will do Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production Partner with Quantitative Researchers to conduct … Machine Learning, Statistics, Physics, Computer Science or similar 8+ years of hands‐on experience MLOps, Research Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience ...